Reach me at : https://www.adityatiwari.dev/ Computer Science student at Technical University of Munich with 5 years of software development experience — now focused on AI research, deep learning, RAG, and agentic systems, with a background in AI automation and frontend web development.
"Programming is a magical tool to solve the most complex problems. I break them down and solve each one with elegant code."
gitGraph
commit id: "hello-world (2020)"
branch frontend
checkout frontend
commit id: "Morgenland Teppich"
commit id: "Vue + Scrum"
commit id: "WebImpact GmbH"
checkout main
merge frontend tag: "5yrs shipping UI"
branch ai
checkout ai
commit id: "Evolvet (2024)"
commit id: "LoRA + n8n"
commit id: "RAG pipelines"
commit id: "Agentic systems"
commit id: "Deep learning research"
checkout main
merge ai tag: "AI Engineer"
AI Automation & Research Engineer @ Evolvet (Feb 2024 – Present · ~1 year in AI)
- 🧠 AI research & deep learning — exploring model behavior, training, and applied DL
- 🔎 RAG systems — retrieval-augmented generation for grounded, context-aware LLM apps
- 🤖 Agentic AI & agentic systems — designing autonomous, tool-using multi-step agents
- 🎯 LoRA fine-tuning for specialized LLM applications
- ⚙️ Workflow automation with n8n
- 🔗 LLM training, integration, and AI-powered business process automation
flowchart LR
U([User Intent]) --> AG{Agent Planner}
AG -->|needs knowledge| R[Retriever]
R --> VDB[(Vector DB)]
VDB --> CTX[Grounded Context]
CTX --> AG
AG -->|needs action| T[Tool / API Calls]
T --> AG
AG --> LLM[LLM Reasoning]
LLM --> AG
AG --> OUT([Verified Output])
classDef core fill:#6d28d9,stroke:#4c1d95,color:#fff;
classDef data fill:#0ea5e9,stroke:#075985,color:#fff;
class AG,LLM core;
class R,VDB,CTX,T data;
timeline
title The Road to AI Engineering
2020 : Studienkolleg @ Uni Hamburg
: Frontend Dev @ Morgenland Teppich
2021 : B.Sc. Computer Science @ TUM
2023 : Frontend Dev @ WebImpact GmbH
: Parloa Admin App — led team of 20
2024 : AI Automation & Research @ Evolvet
: Optiver HFT Hackathon
2025 : Deep Learning · RAG · Agentic Systems
Frontend Web Developer @ WebImpact GmbH (Jan 2023 – Feb 2024)
- Developed with Nuxt, Pinia, Vue.js, Next.js, Redux, React
- Shop system development with Plenty Markets & Shopware
- Headless CMS development with Strapi
Frontend Web Developer @ Morgenland Teppich (Sep 2020 – Feb 2023)
- Led frontend team for project development
- Vue.js, Bootstrap, CSS/SCSS, TWIG
- Scrum Manager
B.Sc. Computer Science — Technical University of Munich (2021 – Present) Studienkolleg — University of Hamburg (2020 – 2021)
mindmap
root((Aditya's<br/>Skills))
AI / ML and Research
Deep Learning
RAG
Agentic AI
Agentic Systems
LLM Training
LoRA Fine-tuning
GPT-4
LangChain
Automation
n8n
Workflow Automation
Languages
Python
TypeScript
JavaScript
Java
OCaml
Frontend
React
Next.js
Vue
Nuxt
Redux
Pinia
Styling
Tailwind
SASS
Bootstrap
CSS
Backend and Data
Node.js
Strapi
Vector DBs
E-Commerce
Shopware
Plenty Markets
flowchart TD
DEV([Aditya Raj Tiwari])
DEV --> AI[AI and Automation]
DEV --> FE[Frontend]
DEV --> EC[E-Commerce]
AI --> P1[Parloa Admin App<br/>GPT-4 + LangChain]
AI --> P2[Evolvet Systems<br/>RAG + Agents + LoRA + n8n]
AI --> P3[Optiver HFT<br/>Python Algo Trading]
FE --> P4[Strapi Website<br/>Nuxt + Vue + Nuxt UI]
FE --> P5[Portfolio<br/>adityatiwari.dev]
FE --> P6[Restaurant App<br/>University Project]
EC --> P7[Morgenland Teppiche]
EC --> P8[MA Versand]
classDef root fill:#111827,stroke:#000,color:#fff;
classDef ai fill:#6d28d9,stroke:#4c1d95,color:#fff;
classDef fe fill:#0ea5e9,stroke:#075985,color:#fff;
classDef ec fill:#059669,stroke:#065f46,color:#fff;
class DEV root;
class AI,P1,P2,P3 ai;
class FE,P4,P5,P6 fe;
class EC,P7,P8 ec;
Strapi Integrated Website (Oct 2024)
Headless CMS website built with Strapi, Nuxt.js, Vue.js, and Nuxt UI. Leveraged generative AI to expedite development.
Parloa Frontend Admin App (Feb – Jun 2023)
Technical University of Munich Project — Led a team of 20 to develop an AI-powered application integrating GPT-4 and LangChain to analyze chat conversation tone, sentiment, and context.
Optiver High-Frequency Trading (Nov 2024)
Developed algorithmic trading strategies in Python during Optiver hackathon. Completed Optiver's "Trading" certification courses.
- Morgenland Teppiche — E-commerce platform for oriental carpets
- MA Versand — Online store for garden equipment spare parts
- Restaurant App — University project for restaurant management
- Portfolio Website — Personal portfolio showcasing work and skills
Languages: JavaScript, TypeScript, Python, Java, OCaml AI / ML & Research: Deep Learning, RAG, Agentic AI, Agentic Systems, LLM Training, LoRA Fine-tuning, GPT-4, LangChain Automation: n8n, Workflow Automation Frontend: React, Next.js, Vue, Nuxt, Redux, Pinia Styling: Tailwind, SASS, Bootstrap, CSS Backend: Strapi, Node.js E-commerce: Shopware, Plenty Markets Tools: Git, Webpack, Figma, TWIG
🇳🇵 Nepali (Native) | 🇬🇧 English (C2) | 🇩🇪 German (C1)
💡 Open to opportunities in AI research, deep learning, agentic AI, RAG, automation, and full-stack development